[C3I] Data Architect

Project – the aim you’ll have

We are the Data & Analytics Global Capability at Software Mind. We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media & entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments.

Role – how you’ll contribute

Architecture & Delivery:

- Assess the client’s current data landscape and design target-state architectures (cloud, hybrid, on-prem) aligned with their business goals. - Select technologies based on the client’s needs, constraints and existing stack, with Snowflake and Databricks as our core platforms. - Design lakehouse, warehouse and data lake architectures, including ingestion, ETL/ELT pipelines, CDC, streaming and API integrations. - Design data models (conceptual, logical, physical) using Kimball, Data Vault or 3NF, as well as semantic layers for BI and AI. - Define security (IAM, encryption, masking, row-level security), HA/DR, performance and cost optimization. - Build data governance foundations: catalog, metadata, lineage, data quality and data contracts. - Make sure platforms are ready for advanced analytics, ML, GenAI and real-time use cases. - Create reference architectures, reusable patterns and accelerators for our Data & AI offering. - Act as technical authority for delivery teams: review designs and keep quality consistent across projects.

Presales & Client Advisory

- Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs. - Present architectures and recommendations to client stakeholders, from engineering teams to C-level. - Design and run PoCs and technical demos. - Evaluate new approaches and tools (data mesh, streaming-first, AI-native platforms) and share what you learn internally and externally.

Expectations – the experience you need

- 7+ years in data engineering or data architecture, including at least 3 years in an architect role. - Hands-on experience designing and delivering solutions on Snowflake and Databricks (Delta Lake, Unity Catalog, Spark): expert level in at least one, working knowledge of the other. - Experience with at least one major cloud (Azure, AWS or GCP) and its data services. - Strong data modeling skills (Kimball, Data Vault, 3NF). - Strong SQL and good Python. - Experience with orchestration and transformation tools (e.g. Airflow, dbt, Azure Data Factory). - Solid understanding of data security, governance and regulatory requirements. - Client-facing experience, ideally in consulting or IT services, and the ability to explain technical trade-offs to business stakeholders. - Very good English, spoken and written (C1).

Additional skills – the edge you have

- Snowflake (SnowPro Advanced), Databricks or cloud architect certifications. - Experience with Microsoft Fabric, BigQuery or Redshift. - Streaming (Kafka, Spark Structured Streaming) and event-driven architectures. - Data catalogs and MDM (Unity Catalog, Collibra, Atlan, DataHub). - Semantic layer and knowledge graphs (dbt Semantic Layer, ontologies, RDF/OWL). - Domain experience in one of our verticals (BFSI, telco, retail/manufacturing, gaming & betting, healthcare, media). - Previous presales or solution consulting experience.

What we offer:

- Flexible and remote cooperation options - International projects with leading global clients - Travels related to international projects - Non-corporate atmosphere - Access* to language classes - Access* to knowledge-sharing initiatives - Access* to private healthcare and life insurance - Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.